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DevOps automation for.
hybrid cloud

Automates the complete DevOps lifecycle across hybrid and multicloud environments –
from planning and code changes to build, test, release, deployment, operations,
monitoring, and continuous improvement. Create reusable automation, leverage GenAI
and agentic intelligence to help teams deliver faster, resolve issues sooner, and operate
with greater control.
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Automate without replacing the DevOps stack you already run
GitHubGitLabBitbucketAzure DevOps JenkinsGitHub Actions HelmArgo CD TektonTerraformAnsibleKubernetesHelm OpenShiftVMwareOpenStackHashiCorp Vault SonarQube Trivy Prometheus Grafana Datadog OpenTelemetry ServiceNow Jira Slack AWS Azure Google Cloud OCI
… and more via open APIs and jobs-as-code — across source control, CI/CD, infrastructure, security, observability, and ITSM.
Why UnityOne AI

Deliver better outcomes

Compress delivery cycles, cut repetitive work, and tighten control over
reliability, risk, and cost across hybrid and multicloud environments.
Faster time to value
Move applications and infrastructure changes from request to execution with fewer manual handoffs and specialist dependencies.
Higher productivity
Give engineering and operations teams reusable automation and self-service access to approved workflows.
Faster resolution
Accelerate diagnosis and remediation through automated runbooks, AI-assisted investigation, and governed execution.
Greater reliability
Reduce configuration drift, inconsistent processes, failed changes, and avoidable human error.
Safer releases
Automated testing, policy checks, approvals, health validation, progressive rollout, and rollback controls reduce release risk.
Stronger governance
Maintain visibility into every action, approval, policy decision, failure, retry, and rollback.
Better cloud economics
Automate resource and cost actions using real-time infrastructure, performance, utilization, and sustainability signals.
Scalable operations
Standardize execution across teams, applications, platforms, and environments without scaling operational overhead at the same rate.
Lifecycle
Automate the DevOps lifecycle
Connect with your existing tools. Move beyond isolated scripts and
manual handoffs with repeatable, governed workflows across the
DevOps lifecycle.

1

Plan and track
Connect work items, change requests, incidents, and operational priorities to the automation workflows that deliver them.

2

Code and integrate
Trigger automation from commits, pull requests, branches, repositories, infrastructure changes, and approved merges.

3

Build and test
Automate builds, unit and integration tests, performance checks, security scans, and artifact creation across services.

4

Release and deploy
Promote approved artifacts across environments, automate deployment strategies, run health checks, and initiate rollback.

5

Operate and monitor
Automate infrastructure operations, configuration changes, scaling, patching, incident response, and continuous monitoring.

6

Learn and improve
Use operational data, deployment outcomes, incidents, and performance signals to improve future releases and workflows.
Authoring

Build automation faster

Create and operationalize DevOps automation without writing every script or pipeline from scratch — reusable components, templates, integrations, and AI-assisted creation for common application and infrastructure workflows.
Automation templates
Start with reusable templates for application delivery, infrastructure provisioning, configuration changes, database operations, security validation, and incident response.
Jobs-as-code
Define automation in code so teams can version, review, test, and promote jobs across environments with consistency.
Low-code workflow design
Compose automation visually using scripts, APIs, commands, services, and existing DevOps tools — without requiring every operator to write complex pipeline logic.
GenAI-assisted creation
Describe the desired outcome in natural language and generate pipeline steps, scripts, infrastructure configurations, test cases, and runbooks for review.
Shared automation library
Create a governed library of approved jobs, playbooks, pipeline components, and operational procedures that teams reuse across applications and environments.
Execution

Execute across hybrid cloud

Run trusted automation consistently across applications, infrastructure, and
environments — while adapting execution to the target platform, resource, and policy.
CI/CD
CI/CD execution
Automate builds, tests, artifact promotion, security validation, deployments, post-deployment checks, and rollback workflows.
Infrastructure
Infrastructure execution
Automate infrastructure-as-code, container platforms, cloud APIs, configuration management, and platform operations across on-premises and cloud.
Event-driven
Event-driven automation
Trigger jobs from code changes, pull requests, monitoring alerts, ITSM events, schedules, approvals, or changes in infrastructure state.
Environment-aware
Environment-aware execution
Apply environment-specific parameters, credentials, approvals, and policies without duplicating the underlying automation.
Resilience
Resilient execution
Manage dependencies, retries, failures, notifications, approvals, and rollback actions through a consistent execution framework.
Self-service
Self-service operations
Give developers, platform teams, and authorized operators access to approved automation without exposing sensitive credentials or relying on specialist teams for every request.
Continuous improvement

Close the feedback loop

DevOps automation should not stop when a deployment completes. UnityOne AI
connects delivery, infrastructure, operations, and observability so production signals improve the next change.

1

Observe every change
Correlate application, infrastructure, topology, cost, security, and user-impact signals with deployment and configuration history.

2

Detect anomalies
Identify unexpected behavior, failed changes, performance degradation, configuration drift, and reliability risks.

3

Investigate faster
Use GenAI and agents to analyze signals, identify probable causes, retrieve runbooks, and propose next actions.

4

Remediate safely
Trigger approved diagnostics, configuration changes, scaling actions, rollback workflows, or incident procedures.

5

Validate recovery
Confirm the environment, application, and service have returned to the expected state before closing the workflow.

6

Improve future automation
Feed incident patterns, deployment outcomes, and execution data back into pipeline design and policy.
Use cases

Automate the work that matters

Apply DevOps automation to the workflows that directly affect delivery speed,
reliability, cost, and engineering productivity.
Release Engineering
Application delivery
Automate build, test, security validation, artifact promotion, deployment, health checks, and rollback across application environments.
Cloud & Hybrid Infra
Infrastructure provisioning
Automate the creation, configuration, scaling, and lifecycle management of cloud, virtual, container, network, and database resources.
Platform Engineering
Self-service platforms
Create self-service workflows for development teams to provision environments, deploy services, request resources, and perform approved operational actions.
Config & Compliance
Configuration and patch management
Automate configuration updates, patching, policy enforcement, and compliance remediation across distributed infrastructure.
SRE & On-Call
Incident response
Trigger diagnostics, runbooks, notifications, ticket updates, and remediation actions from monitoring or ITSM events.
Data Platforms
Database operations
Automate database provisioning, schema updates, migrations, backup workflows, and post-change validation.
Security
Security and compliance
Embed security scans, vulnerability checks, configuration validation, and remediation workflows into the DevOps lifecycle.
FinOps & GreenOps
Cost and resource optimization
Automate rightsizing, scheduling, scaling, and policy-based actions using utilization, cost, performance, and sustainability signals.
Resilience
Disaster recovery
Automate backup validation, failover procedures, recovery workflows, environment checks, and post-recovery verification.
See it on your stack

Ready to automate your
DevOps lifecycle?

Replace repetitive scripts, manual handoffs, and specialist dependencies
with intelligent, reusable, and governed automation across your hybrid
cloud environment.
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About UnityOne AI ™

UnityOne AI™ is an agentic intelligence platform for ITOps management, comprising CERNE™, LUMI™, and VEKTOR™. CERNE™ replaces dozens of cloud management tools by unifying DCIM, AIOps, HCMP, FinOps, and GreenOps within a single AI-driven control plane. LUMI™, the AI copilot, provides contextual intelligence, operational recommendations, and workflow automation, while VEKTOR™ enables enterprises to provision, orchestrate, and scale AI factories with the lowest cost-to-serve. The UnityOne AI™ suite enables enterprises to simplify hybrid/multicloud operations, strengthen governance, optimize resource utilization, and accelerate transformation to AI-driven ITOps.

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